Senior Healthcare Data Analyst

Responsibilities

• Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA.
• Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed.
• Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes.
• Partner with subject matter experts to deliver quality, actionable findings.
• Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership.
• Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions.
• Advocate for and help implement best practices in data management and analytics to drive continuous improvement.
• Effectively communicate with team members while working remotely.
• Perform additional duties as assigned.

Requirements

• Bachelor of Arts/Bachelor of Science degree with an analytical or technical focus (i.e., Statistics, Computer Engineering, Applied Mathematics) or related area.
• Minimum of 5+ years of Medicid experience and conducting advanced analyses utilizing healthcare claims data for the use of fraud detection.
• Ability to understand, simplify and explain data in business terms to technical and non-technical audiences.
• Proficiency in SQL and Python, with familiarity with R or Python for data science (including machine learning).
• Familiarity with Databricks and/or Snowflake.